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Footmen Frenzy I beta
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Filename: Footmen Frenzy I beta.scx
Filesize: 149.61KB

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File Information
General
Uploaded on:Feb 25 2010, 7:37 am
Uploaded by:SiberianTiger
Author:|1830|
Downloads:305

Map-Data
Tileset:Jungle
Dimension:256x256

Forces
Leo Brotherhood
Human (Zerg)
Human (Zerg)
Vulpecula Tribe
Human (Zerg)
Human (Zerg)
Lacerta Company
Human (Zerg)
Human (Zerg)
Aquila Treaty Alliance
Human (Zerg)
Human (Zerg)

Map-Statistics
Units:604
Triggers:818
Locations:204
Strings:1053
File Description
2v2v2v2 9 heroes 5 spells 6 footmen levels

footmen frenzy from wc3

spells cast like custom hero wars

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Comments
RideOrDie wrote on Feb 25 2010, 9:58 pm:
kinda lame.. reminds me of all the medicore maps.. work harder?.. make it more exciting..

[02:55 pm]
Oh_Man -- another arty stream
[02:49 pm]
Oh_Man -- it doesnt need maphack. the person who stole it and is using it on the ladder is using it with maphack. all its training was done with normal fog of war
[01:28 pm]
NimoStar -- Unless specifically logged and retrained. But that wasn't in the original version. It just played itself
[01:28 pm]
NimoStar -- it has a static training, which is converted into weights. it doesn't actually learn from new games.
[01:16 pm]
NudeRaider -- but it would explain why that bot needs cheats to win
[01:05 pm]
NudeRaider -- Oh_Man
Oh_Man shouted: No training is very computational expensivr it doesnt train in real time tht culd actually be used against it
oh but alphastar training was *very* cpu intensive.
[12:16 pm]
Oh_Man -- inference vs backpropogation
[11:31 am]
Oh_Man -- No training is very computational expensivr it doesnt train in real time tht culd actually be used against it
[11:11 am]
NudeRaider -- Oh_Man
Oh_Man shouted: Hope that makes sense. Also artosiscast just dropped a 1 hour vid he analayses a bunch of its games. The TLDR is the maphack is responsible for a large percentage of its wins because its just hard countering zerg rushes
People keep mentioning it's a bot using reinforced self-learning (or w/e the correct term is) but I wonder, does it still actively learn now that it is deployed? How does that work? Or was it trained on like 100k games playing against itself and now training is finished and its capabilties are now static?
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